厦门大学人工智能研究院
曹刘娟

厦门大学    副教授,博士生导师

媒体分析与计算实验室

地址:厦门大学海韵校区 行政C楼#705 邮编:361005

电子邮件:caoliujuan@xmu.edu.cn


 

    代表论文

    • L. Cao, W. Wang, J. Li. Vehicle Detection from Highway Satellite Images via Transfer Learning. Information Sciences, 2016, JCR-1区

    • M. Lin, L. Cao(通讯作者), S. Li, Q. Ye, Y. Tian, J. Liu, Q. Tian, R. Ji. Filter Sketch for Network Pruning. IEEE Transactions on Neural Networks and Learning Systems, 2021, JCR-1区

    • L. Cao, F. Luo, L. Chen, Y. Sheng, H. Wang, C. Wang, R. Ji. Weakly supervised vehicle detection in satellite images via multi-instance discriminative learning. Pattern Recognition, 2017, JCR-2区

    • R. Ji, F. Chen, L. Cao(通讯作者), Y. Gao. Cross-modality microblog sentiment prediction via bi-layer multimodal hypergraph learning. IEEE Transactions on Multimedia, 2018, JCR-2 区

    • L. Cao, R. Ji, C. Wang, J. Li. Towards Domain Adaptive Vehicle Detection in Satellite Image by Super vised Super-resolution Transfer. Proceedings of the AAAI Conference on Artificial Intelligence, 2016, 中国计算机学会A类

    • H. Chen, Y. Luo, L. Cao(通讯作者), B. Zhang, G. Guo, C. Wang, J. Li, R. Ji. Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework. International Joint Conference on Artificial Intelligence, 2019,中国计算机学会A类

    • X. Sun, X. Zhang, L. Cao(通讯作者), Y. Wu, F. Huang, R. Ji. Exploring Language Prior for Mode-Sensitive Visual Attention Modeling. ACM Multimedia, 2020, 中国计算机学会A类

    • Z. Chen, L. Cao(通讯作者), Y. Shen, F. Lian, Y. Wu, R. Ji. E2Net: Excitative-Expansile Learning for Weakly Supervised Object Localization. ACM Multimedia, 2021, 中国计算机学会A类

    • J. Hu, L. Cao(通讯作者), T. Tong, Q. Ye, S. Zhang, K. Li, F. Huang, L. Shao, R. Ji. Architecture disentanglement for deep neural networks. IEEE International Conference on Computer Vision, 2021,中国计算机学会A类

    • Y. Shen, L. Cao(通讯作者), Z. Chen, B. Zhang, C. Su, Y. Wu, F. Huang, R. Ji. Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation. IEEE International Conference on Computer Vision, 2021,中国计算机学会A类

    • Y. Shen, L. Cao(通讯作者), Z. Chen, F. Lian, B. Zhang, C. Su, Y. Wu, F. Huang, R. Ji. Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition, 2021, 中国计算机学会A类

    • 曹刘娟, 匡华峰, 刘弘, 王言, 张宝昌, 黄飞跃, 吴永坚, 纪荣嵘. 《双标签监督的几何约束对抗训练》. 软件学报, 2021, 已录用, 一类高水平中文学术期刊